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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 23099
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    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to specific musicians and their collaborative works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orem
    -0.88
    oise
    -0.81
    atorial
    -0.79
    ories
    -0.78
    ovie
    -0.76
    amar
    -0.75
    zai
    -0.74
    ouri
    -0.73
    imony
    -0.73
    omon
    -0.72
    POSITIVE LOGITS
     Byrne
    0.87
    cles
    0.71
    glomer
    0.67
    cling
    0.67
    cellent
    0.64
    ndum
    0.62
    interstitial
    0.61
    lite
    0.61
    bm
    0.60
     sparing
    0.59
    Activations Density 0.018%

    No Known Activations